Enhancing Python Performance in Data Science

This chapter explores the vital role of Python performance optimization in data science, highlighting tools like Numba and profiling techniques. It discusses the importance of identifying performance hotspots and balancing optimization with code readability. The chapter further delves into specific profiling tools and techniques for enhancing execution speed and memory management, particularly in numerical computations.